predict.bgPCA {Morpho} | R Documentation |
Compute between-group-PC scores from new data
Description
Compute between-group-PC scores from new data
Usage
## S3 method for class 'bgPCA'
predict(object, newdata, ...)
Arguments
object |
object of class |
newdata |
matrix or 3D array containing data in the same format as originally used to compute groupPCA |
... |
currently not used. |
Value
returns the between-group-PC scores for new data
Examples
data(boneData)
boneLMPart <- boneLM[,,-(1:2)]
procPart <- procSym(boneLMPart)
pop_sex <- name2factor(boneLMPart, which=3:4)
## compute group PCA without first 2 specimens
gpcaPart <- groupPCA(procPart$orpdata, groups=pop_sex, rounds=0, mc.cores=2,cv=FALSE)
## align new data to Procrustes analysis
newdata <- align2procSym(procPart,boneLM[,,1:2])
## get scores for new data
newscores <- predict(gpcaPart,newdata)
[Package Morpho version 2.12 Index]